Senior AI​/ML Engineer; Public Trust Security Clearance

Position: Senior AI/ML Engineer (Public Trust) with Security Clearance
Location:

Bethesda, MD (Hybrid) Clearance:
Public Trust (Role may require additional background investigations)

Employment Type:

Full-Time US Citizenship is Required

Position Overview:

Praescient Analytics is seeking a highly experienced Senior AI/ML Engineer to support a mission-critical federal analytics and artificial intelligence modernization program. This role is responsible for designing, engineering, deploying, and operating production-grade AI and machine learning systems that support real-time decision-making, advanced analytics, and public safety outcomes. The Senior AI/ML Engineer owns the end-to-end machine learning lifecycle, from data ingestion and model development through deployment, monitoring, and governance.

This position plays a key role in operationalizing advanced analytics, building scalable MLOps pipelines, and integrating AI capabilities into cloud-native systems within a highly regulated federal environment.

Key Responsibilities:

* Design, develop, train, and optimize machine learning and deep learning models supporting predictive analytics, classification, anomaly detection, NLP, and AI-assisted decision support.
* Apply advanced ML techniques using supervised, unsupervised, and semi-supervised learning approaches.
* Design and implement end-to-end MLOps pipelines supporting model training, validation, versioning, deployment, and rollback.
* Deploy models into production environments using Microsoft Azure ML, containerization, and CI/CD pipelines.
* Implement model monitoring, performance tracking, and drift detection to ensure long-term reliability and accuracy.
* Build and maintain AI solutions leveraging Microsoft Azure services, including:
* Azure Machine Learning
* Azure Data Lake Storage
* Azure Synapse Analytics
* Integrate AI/ML solutions with existing data platforms, APIs, and analytics services.
* Optimize AI workloads for cost, performance, and reliability in cloud environments.
* Ensure AI systems adhere to federal standards for responsible AI, transparency, explainability, and auditability.
* Support model documentation, validation artifacts, and compliance reporting.
* Collaborate with governance and stakeholder teams to ensure models are suitable for high-impact decision-making.
* Work closely with data scientists, data engineers, analysts, architects, and Agile project managers in a fast-paced Agile delivery environment.
* Mentor junior engineers and contribute to shared engineering standards and best practices.

Required Qualifications:

Experience
* Minimum of 5+ years of experience designing, deploying, and operating production AI/ML systems.
* Demonstrated experience moving models from research or prototype stages into production environments.
* Proven experience supporting AI systems in mission-critical or regulated settings.
* Bachelor's Degree in Computer Science, Machine Learning, Data Science, Engineering, or a related field - or equivalent professional experience.
* Experience supporting federal, public-sector, or other regulated environments. Technical Skills
* Expert proficiency in Python and AI/ML frameworks such as PyTorch and/or Tensor Flow.
* Strong experience with machine learning libraries including Scikit-learn, Num Py, and Pandas.
* Hands-on experience with Microsoft Azure AI/ML services, particularly Azure Machine Learning.
* Experience building CI/CD pipelines for ML workflows.
* Familiarity with containerization (Docker) and model deployment patterns.
* Experience with SQL and data integration for ML workloads.
* Proficiency with Git-based version control and collaborative development. Communication & Leadership
* Strong written and verbal communication skills.
* Ability to explain complex AI/ML concepts to technical and non-technical stakeholders.
* Proven ability to lead technical efforts and collaborate across multidisciplinary teams. Clearance:
Minimum of a Public Trust (U.S. Citizenship is Required)

Preferred Qualifications:

* Master's or Ph.D. in Computer Science, Machine Learning, Data Science, Engineering, or a related field - or equivalent professional experience.
* Familiarity with AI agents, vector databases, large language models (LLMs), or Copilot-style architectures.
* Azure certifications (AI Engineer, Data Scientist, or related).
* Experience with streaming or near-real-time AI pipelines. What you can expect from us:
* Real opportunity for career growth in an environment where your achievements will be celebrated
* Constant collaboration with numerous teams to ensure client success
* A team that respects and embraces your ideas and expertise
* Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
* A workplace dedicated to supporting and bettering public safety and government agencies Benefits:
* Very competitive salary based on qualifications and experience
* Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
* 401(k) with company match
* Travel & performance…